AgriFood supply chain traceability: data sharing in a farm-to-fork case
PurposeTraceability of food is of paramount importance to the increasingly sustainability-conscious consumers. Several tracking and tracing systems have been developed in the AgriFood sector in order to prove to the consumers the origins and processing of food products. Critical challenges in realiz...
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Veröffentlicht in: | Benchmarking : an international journal 2023-12, Vol.30 (9), p.3090-3123 |
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description | PurposeTraceability of food is of paramount importance to the increasingly sustainability-conscious consumers. Several tracking and tracing systems have been developed in the AgriFood sector in order to prove to the consumers the origins and processing of food products. Critical challenges in realizing food's traceability include cooperating with multiple actors on common data sharing standards and data models.Design/methodology/approachThis research applies a design science approach to showcase traceability that includes preharvest activities and conditions in a case study. The authors demonstrate how existing data sharing standards can be applied in combination with new data models suitable for capturing transparency information about plant production.FindingsTogether with existing studies on farm-to-fork transparency, our results demonstrate how to realize transparency from field to fork and enable producers to show a complete bill of sustainability.Originality/valueThe existing standards and data models address transparency challenges in AgriFood chains from the moment of harvest up to retail (farm-to-fork) relatively well, but not what happens before harvest. In order to address sustainability concerns, there is a need to collect data about production activities related to product quality and sustainability before harvesting and share it downstream the supply chain. The ability to gather data on sustainability practices such as reducing pesticide, herbicide, fertilizer and water use are crucial requirements for producers to market their produce as quality and sustainable products. |
doi_str_mv | 10.1108/BIJ-01-2022-0006 |
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Several tracking and tracing systems have been developed in the AgriFood sector in order to prove to the consumers the origins and processing of food products. Critical challenges in realizing food's traceability include cooperating with multiple actors on common data sharing standards and data models.Design/methodology/approachThis research applies a design science approach to showcase traceability that includes preharvest activities and conditions in a case study. The authors demonstrate how existing data sharing standards can be applied in combination with new data models suitable for capturing transparency information about plant production.FindingsTogether with existing studies on farm-to-fork transparency, our results demonstrate how to realize transparency from field to fork and enable producers to show a complete bill of sustainability.Originality/valueThe existing standards and data models address transparency challenges in AgriFood chains from the moment of harvest up to retail (farm-to-fork) relatively well, but not what happens before harvest. In order to address sustainability concerns, there is a need to collect data about production activities related to product quality and sustainability before harvesting and share it downstream the supply chain. The ability to gather data on sustainability practices such as reducing pesticide, herbicide, fertilizer and water use are crucial requirements for producers to market their produce as quality and sustainable products.</description><identifier>ISSN: 1463-5771</identifier><identifier>EISSN: 1758-4094</identifier><identifier>DOI: 10.1108/BIJ-01-2022-0006</identifier><language>eng</language><publisher>St. Louis: Emerald Publishing Limited</publisher><subject>Agriculture ; Artificial Intelligence ; Business administration ; Business models ; Business operations ; Computer Science ; Consumers ; Continental interfaces, environment ; Data collection ; Data transparency ; Emerging Technologies ; Farmers ; Farms ; Food ; Food security ; Fruits ; Harvesting ; Herbicides ; Humanities and Social Sciences ; Information sharing ; International organizations ; Internet of Things ; Olives ; Pilot projects ; Quality standards ; Sciences of the Universe ; Software ; Stakeholders ; Supply chain management ; Supply chains ; Sustainability ; Systems and Control ; Water use</subject><ispartof>Benchmarking : an international journal, 2023-12, Vol.30 (9), p.3090-3123</ispartof><rights>Emerald Publishing Limited</rights><rights>2022. 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Several tracking and tracing systems have been developed in the AgriFood sector in order to prove to the consumers the origins and processing of food products. Critical challenges in realizing food's traceability include cooperating with multiple actors on common data sharing standards and data models.Design/methodology/approachThis research applies a design science approach to showcase traceability that includes preharvest activities and conditions in a case study. 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subjects | Agriculture Artificial Intelligence Business administration Business models Business operations Computer Science Consumers Continental interfaces, environment Data collection Data transparency Emerging Technologies Farmers Farms Food Food security Fruits Harvesting Herbicides Humanities and Social Sciences Information sharing International organizations Internet of Things Olives Pilot projects Quality standards Sciences of the Universe Software Stakeholders Supply chain management Supply chains Sustainability Systems and Control Water use |
title | AgriFood supply chain traceability: data sharing in a farm-to-fork case |
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